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Top 6 AI Trends To Look Out For in 2021: A Marketing Forecast

The pandemic has placed the AI ‘zodiacs’ in such a favourable position that 2021 will be seen in history as the formative year for the field. In the light of AI being the indispensable future, let us look at the top 6 AI trends to look out for in 2021.

Evolving AI for the new workplace scenarios

Companies that are evolving and those that are growing both will certainly take to AI in a more aggressive manner. To ease Covid-induced workplace disruption AI tools such as document extraction, return-to-work health monitoring, and even robots to ensure social separation will be used. Safe and ethical application of AI will be the need of the hour and the hurdle to tackle.

Ethical AI Will Take Shape

As AI’s role in day-to-day tasks becomes greater so does the demand for ethical AI and this can be expected to be among the frontrunner of AI trends of 2021. There is a lot of uncertainty that comes along with AI because of its persistently increased usage. Data ethics are the centre of attention as customers and employees want the use of AI to be responsible. Even firms will prefer being in business with those who are committed to ethical data practices. Ethical issues facing AI currently include future job losses, ownership of AI mistakes, ultimate control of AI, algorithm fairness and data transparency et al.

AI will be used for experiential purposes

If 2020 was all about data, 2021, in addition to better data gathering and use, will see companies pushing themselves to use AI on newer grounds such as conducting holographic meetings for Work-From-Home employees as well as personalized manufacturing. The strategic planning game will be taken a notch higher with stimulating boardroom experiences.

Intelligent Process Automation or IPA will rule

Intelligent Process Automation will further automate artificial intelligence. It is no secret that the more data is fed to the algorithms they begin processing it in a superior way. With the use of OCR tech, AI in tandem with RPA will be able to read unstructured data from scanned documents. This is poised to boost businesses efficiency and help in operations expansion.

Data Will Constantly Evolve

As data continues to grow, businesses will make a beeline to keep ahead of competition and use advanced analytics as well as take to dynamic business models. Only data science professionals can help here as they work for businesses to relook at their modus operandi to get ahead of rivals.

Hybrid workforce may come alive

With the help of Robotic Process Automation (RPA), companies and organisations will merge AI and RPA functions for high volume work which is repetitive in nature. For example, something as simple as taking a xerox or monitoring temperatures of employees and reporting an ill case, will be done by AI and RPA. Humans will be seen working in collaboration with bots. Alexa, Siri, etc are just the beginning of this age.

Besides these, we see Natural Language Processing (NLP) will be developed further to comprehend human speech in a better manner. AI-based Conversational chat-bots will be advanced for better customer services. We also feel e-commerce based platforms will compensate customers for the lack of a sensorial experience by using AR/VR for online shopping.

Video editing and film-making

If you have ever been in the business of video editing, especially when a famous celebrity was involved, and no matter how much you try to salvage the video, you cannot; deepfakes will help with that clip and your video will be made uninterrupted. Earlier, movie directors would spend millions on creating the perfect location for their movies. This is now achievable with a far lesser sum using deepfake and AI. Deepfakes can be real game-changers in film-making. Imagine new movies starring Charlie Chaplin opening to full houses. This, ofcourse, after all the copyright issues are taken into consideration..

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wasim basir

marketing, board member

It’s most obvious in the digital media space, from click buys to personalized web experiences. For marketing, the AI journey has just kick-started, while in the tech sector it has been applied for a while now. We are still at an early stage where inroads are being made into AI content via chatbots and even some explanatory content creation but what will make anyone jump up and embrace it is when we will start seeing a lot of mainstream content being created by AI.

rich arnold

board member

Prior to joining Infinite Analytics, Richard served as the CFO of CrowdFlower, COO and CFO of Phoenix Technologies, as a member of the board of directors and chairman of the Audit Committee at Intellisync, and previously as CFO and executive vice president strategy and corporate development at Charles Schwab.

pravin gandhi

board member

Pravin Gandhi has over 50 years of entrepreneurial operational and investing experience in the IT industry in India. He was a founding partner of the first early stage fund India - INFINITY. Subsequently a founding partner in Seedfund I & II. With over 18 years of investing experience, he is extensively well networked in investment and entrepreneurial scene and is an active early stage angel investor in tech & impact space. Pravin holds a BS in Industrial Engineering from Cornell University, and serves on the board of several private corporations in India. He is on the board of SINE, IIT Mumbai Incubator.

Purushotham Botla

co-founder & cto

Puru has his Masters in Engineering and Management from MIT. Prior to MIT, he worked with Fidelity Investments building electronic trading products and high volume market data processing applications. He has completed his BE from VJTI, Mumbai.


Deb Roy

Executive Director, MIT Media Lab

Deb Roy is Professor of Media Arts and Sciences at MIT where he directs the MIT Center for Constructive Communication, and a Visiting Professor at Harvard Law School. He leads research in applied machine learning and human-machine interaction with applications in designing systems for learning and constructive dialogue, and for mapping and analyzing large scale media ecosystems. Deb is also co-founder and Chair of Cortico, a nonprofit social technology company that develops and operates the Local Voices Network to surface underheard voices and bridge divides.

Roy served as Executive Director of the MIT Media Lab from 2019-2021. He was co-founder and CEO of Bluefin Labs, a media analytics company that analyzed the interactions between television and social media at scale. Bluefin was acquired by Twitter in 2013, Twitter’s largest acquisition of the time. From 2013-2017 Roy served as Twitter’s Chief Media Scientist.

Erik Brynjolfsson

Board Member

Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He also is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), Professor by Courtesy at the Stanford Graduate School of Business and Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER).

Akash Bhatia

Co-Founder and CEO

Akash co-founded IA while studying for his MBA from MIT. Prior to MIT Sloan, he co-founded Zoonga. Before this, Akash was an engineer with Oracle in Silicon Valley. He has completed his M.S from University of Cincinnati and B.E from the College of Engineering, Pune.